AI Systems Developer

2 weeks ago

Erode, Tamil Nadu, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About the Role:

We are seeking an experienced Data Scientist to design, build and deploy ML models that power business-critical solutions. You will collaborate with cross-functional teams to deliver scalable ML systems, driving innovation and measurable business outcomes.

Key Responsibilities:

  • Design and Development of ML Models: Design, develop and deploy ML models (regression, classification, clustering, deep learning) using Python and relevant libraries/frameworks.
  • Data Pipeline and Feature Engineering: Build and optimize data pipelines, feature engineering and training workflows using Pandas, NumPy and Spark.
  • Model Deployment: Deploy models to production using Docker, Kubernetes and cloud platforms (AWS/GCP/Azure).
  • Model Maintenance and Updates: Monitor model performance, retrain and maintain production-ready systems.
  • API Development and Integration: Develop APIs and integrate ML solutions with enterprise applications.
  • Staying Updated on Trends: Stay updated on ML/AI trends and contribute innovative solutions.
  • Collaboration with Cross-Functional Teams: Collaborate with data scientists, engineers and product managers to align with business goals.

Qualifications:

  • At least 3 years of experience in ML engineering or related field.
  • Strong proficiency in Python; knowledge of Java/Scala/R is a plus.
  • Expertise with ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras.
  • Hands-on with data tools: Pandas, NumPy, Spark.
  • Experience with ML deployment (SageMaker, Azure ML, GCP AI, TensorFlow Serving, TorchServe).
  • Familiarity with databases (SQL, MongoDB, Cassandra) and version control (Git).
  • Understanding of DevOps/MLOps practices.
  • Excellent problem-solving, communication and collaboration skills.

Benefits:

You will have the opportunity to work with cutting-edge technologies and be part of a collaborative team.

Miscellaneous:

Please submit your application with your resume and cover letter.

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